Modern Industrial Automation Software Design (Hardcover)

Lingfeng Wang

ISBN 10: 0471683736 / ISBN 13: 9780471683735

Published by John Wiley & Sons Inc, New York, 2006

About this Item

Hardcover. The main subjects in this book relate to software development using cutting-edge technologies for real-world industrial automation applicationsA hands-on approach to applying a wide variety of emerging technologies to modern industrial practice problemsExplains key concepts through clear examples, ranging from simple to more complex problem domains, and all based on real-world industrial problemsA useful reference book for practicing engineers as well as an updated resource book for researchers Developing industrial automation software increasingly requires integration of expertise across many disciplines, from software engineering to data communication to resource management. This book serves as a practical resource for researchers, and as a useful reference for practicing engineers with advanced research and development functions. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9780471683735

Bibliographic Details

• Title: Modern Industrial Automation Software Design (Hardcover)
• Publisher: John Wiley & Sons Inc, New York
• Publication Date: 2006
• Language: English
• ISBN 10: 0471683736
• ISBN 13: 9780471683735
• Binding: Hardcover
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

• The main subjects in this book relate to software development using cutting-edge technologies for real-world industrial automation applications
• A hands-on approach to applying a wide variety of emerging technologies to modern industrial practice problems
• Explains key concepts through clear examples, ranging from simple to more complex problem domains, and all based on real-world industrial problems
• A useful reference book for practicing engineers as well as an updated resource book for researchers

About the Author

L. F. Wang received his B.Eng degree in measurement and instrumentation from Zhejiang University, China in 1997, a M.Eng degree in instrumentation science and engineering from Zhejiang University, China in 2000, and a M.Eng degree in electrical and computer engineering from National University of Singapore, Singapore in 2002. Currently he is a researcher in the Electrical and Computer Engineering Department at the University of Virginia, U.S.A. He has published over 40 technical papers in the fields of industrial measurement, testing, and supervision, fault-tolerant control, and autonomous agents. He has served as a technical program committee member for some international conferences. He is also an active reviewer for many leading international journals and conferences. He was “one of the valued and trusted contributors” in AUTOTESTCON 2000. His current research interests include networked and embedded software technology for aerospace applications, and adaptive resource management in real-time systems.

K. C. Tan received the B.Eng. degree with first class honors in electronics and electrical engineering and the Ph.D. degree from the University of Glasgow, Glasgow, Scotland, in 1994 and 1997, respectively. He was with the Center for Systems & Control and the Evolutionary Computing Group, Glasgow, Scotland, before joining the Department of Electrical and Computer Engineering, National University of Singapore, as an Assistant Professor in 1997. He has authored or coauthored more than 100 journal and conference publications and has served as a program committee or organizing member for many international conferences. He currently holds Associate Editor appointments in IEEE Transactions on Evolutionary Computation and International Journal of Systems Science (Taylor and Francis, London). His current research interests include computational intelligence, evolutionary computing, intelligent control, and engineering designs optimization.